Association for Computing Machinery
With the increasing popularity of cloud computing, huge amount of documents are outsourced to the cloud for reduced management cost and ease of access. Although encryption helps protecting user data confidentiality, it leaves the well-functioning yet practically-efficient secure search functions over encrypted data a challenging problem. In this paper, the authors present a privacy-preserving Multi-keyword Text Search (MTS) scheme with similarity-based ranking to address this problem. To support multi-keyword search and search result ranking, they propose to build the search index based on term frequency and the vector space model with cosine similarity measure to achieve higher search result accuracy.